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Legal & Compliance AISeries AClear buyer pull67 views

Manifest OS

Manifest OS builds infrastructure for AI-native legal service models.

Startup snapshot

Stage
Series A
Funding
Series A · $60M · April 2026
Status
published
Updated
May 5, 2026
Views
67 views

What they're building

Manifest OS builds infrastructure for AI-native legal service models.

Foundation model usage

Architecture pattern
Agentic loops, Batch document processing
Defensibility
Workflow lock-in
Model demand
Low intensity

NYC footprint

NYC location
New York, NY

Funding

Latest funding: Series A · $60M · April 2026. Total raised: N/A. Lead investor: Menlo Ventures; Kleiner Perkins; First Round Capital; Quiet Capital.

AI Lab Fit

Strong fit for retrieval, citations, structured extraction, policy reasoning, and workflow agents with clear audit trails.

Notes

Manifest OS is tagged clear buyer pull based on buyer clarity, repeat workflow activity, public activity, and fit with the AI Atlas map.

Hiring

Open roles at Manifest OS

43 rolesfrom the company's careers page.

Updated 6h ago

Immigration Manager Portal

OtherListed 6h ago

Manifest OS Manifest OS raised a $60M Series A at $750M Valuation...

People Operations Lead New York City New York City

OperationsNew York, NYListed 6h ago

We're hiring our first People Operations Lead to build the operating backbone that lets Manifest scale without things breaking.

Senior Immigration Program Manager San Francisco San Francisco

OtherListed 6h ago

Manifest is looking for a Senior Immigration Program Manager to own and grow a book of Mid-Market and Enterprise accounts.

Employee Experience Manager New York City New York City

OtherNew York, NYListed 6h ago

Employee Experience (~60%) Provide world-class onboarding welcomes: pre-onboarding experience, onboarding week planning, liaising with People Leads, and default buddy assignment.

Corporate Development Lead New York City New York City

OtherNew York, NYListed 6h ago

Your job is to make both true, every time — and to build the playbook that makes each integration smoother than the last.

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